Šimon Hudínek

CVS emission benches are humidity-sensitive: condensation in the dilution tunnel invalidates a test run, and the lever against it is the dilution ratio. I designed the measurement campaign, instrumented the 20 m tunnel with humidity and temperature sensors along its length, built the thermodynamic model in Python and validated it against that campaign. The delivered tool evaluates every available dilution ratio for a given vehicle and picks the lowest one that still holds a margin against condensation. The panel is that tool rebuilt in the browser.

Too little AdBlue and NOx escapes; too much and ammonia slips through, which is why production exhaust systems carry an extra ammonia-slip catalyst (ASC) behind the SCR. The dose depends on how much ammonia is already stored on the catalyst washcoat, which no sensor measures, so the controller carries a reaction-kinetics model of the catalyst. Getting that model into the loop meant turning XMR, an in-house Fortran reactor simulator, into a callable library the controller can run as several warm-started instances per step, rather than passing intermediate results through disk. It solves in 5.8 s on average against a 30 s control step. It previews load steps 8 minutes ahead and holds NH3 slip below 1 ppm, so the ASC can be deleted, traded against some NOx conversion at partial load. The panel shows the system and the benchmark.

On this semester project I was the project manager for the engineering side of an 8-person team (programmers, testers, frontend devs, and the requirements reports) and handled the DevOps work of splitting the hardware and software branches and integrating them into one system, delivered on schedule. My own specialization was the control design: a first-principles model linearized around the operating point, linear MPC with EKF state estimation, NI-DAQmx acquisition, and a PySide6 operator app for stable closed-loop control on the real rig. The panel is that operator app, replaying a closed-loop run at 6× real time.

Off the clock I build the things I use: an ESP32 circadian lighting cabinet driven by a local server on the home network and running as a daily-driver, a capacitive-sensing smart bottle that logs hydration patterns, and a laboratory test rig brought back from a hardware failure by remapping its wiring and rebuilding the LabVIEW control logic. Click a photo below for the full story of each.